Zobrazeno 1 - 5
of 5
pro vyhledávání: '"David A Maerz"'
Autor:
Rocco J LaFaro, Suryanarayana Pothula, Keshar Paul Kubal, Mario Emil Inchiosa, Venu M Pothula, Stanley C Yuan, David A Maerz, Lucresia Montes, Stephen M Oleszkiewicz, Albert Yusupov, Richard Perline, Mario Anthony Inchiosa
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0145395 (2015)
BACKGROUND:Advanced predictive analytical techniques are being increasingly applied to clinical risk assessment. This study compared a neural network model to several other models in predicting the length of stay (LOS) in the cardiac surgical intensi
Externí odkaz:
https://doaj.org/article/f34b959353d643e0ae90cb8fde020eda
Autor:
Catalin S. Ezaru, Marsha E Ritter, David A Maerz, Brian A. Williams, Patrick J Kennedy, James H Dalessandro, Sara R. Piva, James W. Ibinson
Publikováno v:
Pain medicine (Malden, Mass.). 22(12)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ae965c8308b27800501e1510bf20ec5
https://pubmed.ncbi.nlm.nih.gov/34260737
https://pubmed.ncbi.nlm.nih.gov/34260737
Autor:
David A. Maerz, Hardikkumar Shah, Andrew Goldberg, Christopher Curatolo, Muoi Trinh, Hung-Mo Lin
Publikováno v:
Journal of Clinical Anesthesia. 38:123-128
The American Society of Anesthesiologists physical status (ASA-PS) is associated with increased morbidity and mortality in the perioperative period. When surgeries are scheduled by surgeons and their staff at our large institution a presumed ASA-PS i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ada915c468ee0e69b8c6da0a891f838
https://doi.org/10.1016/j.jclinane.2017.02.002
https://doi.org/10.1016/j.jclinane.2017.02.002
Autor:
Daniel M. Gainsburg, David A. Maerz
Publikováno v:
Canadian journal of anaesthesia = Journal canadien d'anesthesie. 63(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e849234d225e3685232b6306cb75184d
https://pubmed.ncbi.nlm.nih.gov/26759161
https://pubmed.ncbi.nlm.nih.gov/26759161
Autor:
Venu M. Pothula, Keshar Paul Kubal, Suryanarayana Pothula, Albert Yusupov, M. E. Inchiosa, Richard Perline, Stephen M. Oleszkiewicz, Mario A. Inchiosa, Rocco J. Lafaro, Stanley C. Yuan, David A. Maerz, Lucresia Montes
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0145395 (2015)
PLoS ONE
PLoS ONE
Background Advanced predictive analytical techniques are being increasingly applied to clinical risk assessment. This study compared a neural network model to several other models in predicting the length of stay (LOS) in the cardiac surgical intensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5297a450e9c00da0b46477d37a1ae7a5
http://europepmc.org/articles/PMC4692524?pdf=render
http://europepmc.org/articles/PMC4692524?pdf=render